In part one, we meet computer science Assistant Professor Stephen Ramsey, who uses computational modeling to look deep into the human genome. His goal: predict who among us is more susceptible to heart disease. The information could determine not only who will benefit most from preventive action, but may even lead to new drugs for treating cardiovascular disease.
We then shift from humans to the world of plants and animals with Ph.D. student Caitlin Condon and Ph.D. candidate Delvan Neville from the Radioecology Research Group in the School of Nuclear Science and Engineering. They are both creating voxel phantom models: Caitlin for pine trees, and Delvan for marine life. By creating these 3-D models, they hope to begin to much more accurately understand radiation dose rates in biota.
https://engineering.oregonstate.edu/season-1-data-science-and-engineering/hearts-and-phantoms-s1e6
The Monte Carlo method conjures images of a suave gambler beating the house in Monaco. In reality, Monte Carlo methods are computational algorithms that use randomness to solve problems.
In this episode we hear from Todd Palmer, professor of nuclear engineering, about his use of Monte Carlo simulations in nuclear power. In addition, find out how Haizhong Wang, assistant professor in transportation engineering, is incorporating Monte Carlo to model tsunami evacuation routes in the Cascadia Subduction Zone.
Available on Apple Podcasts, Google Podcasts, Spotify, Stitcher, and YouTube.
https://engineering.oregonstate.edu/season-1-data-science-and-engineering/odds-and-ends-s1e5
In this episode, we find out how researchers are utilizing unmanned autonomous vehicles (UAVs) to gather data.
Dr. Dan Gillins, affiliated faculty member, along with his brother Matt Gillins, a graduate student at Oregon State, is conducting research on the feasibility of using UAVs to conduct bridge inspections. Gillins’ research seeks to determine if UAVs can help defray some of the cost and eliminate some of the risk involved with traditional bridge inspections.
COE postdoctoral researcher Dr. Eric Becker developed a UAV-mounted Radiation Compass that maps radiation sources autonomously in real time. The Radiation Compass weighs only 650 grams and can be built for $3,000 giving it a major advantage over current detectors.